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» Evolving heuristics with genetic programming
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CGO
2011
IEEE
12 years 11 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
RECOMB
2002
Springer
14 years 7 months ago
Comparison of minisatellites
In the class of repeated sequences that occur in DNA, minisatellites have been found polymorphic and became useful tools in genetic mapping and forensic studies. They consist of a...
Eric Rivals, Sèverine Bérard
EUROGP
2007
Springer
14 years 1 months ago
The Holland Broadcast Language and the Modeling of Biochemical Networks
Abstract. The Broadcast Language is a programming formalism devised by Holland in 1975, which aims at improving the efficiency of Genetic Algorithms (GAs) during long-term evolutio...
James Decraene, George G. Mitchell, Barry McMullin...
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 1 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
EVOW
2010
Springer
13 years 11 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner